content-research-brief SKILL.md skillA

content-research-brief from affitor/affiliate-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add affitor/affiliate-skills/content-research-brief@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
affitor/affiliate-skills
Path
skills/content/content-research-brief/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Apr 3, 2026
Size
16,741 bytes
Repository stars
774
License
MIT

Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says "research [topic] for me", "find sources about [keyword]", "content brief for [topic]", "what's the latest on [product]", "research before writing…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Content Research Brief

Research a topic by collecting 5-10 real source articles, auto-tagging them by theme,
extracting key data points, and synthesizing unique content angles. The output is a
structured research brief that any downstream content skill can consume.

**The problem this solves:** Most AI-written affiliate content is generic because it's
written from the model's training data — not from real, current sources. This skill
forces research-first content creation: find real articles, extract real data, then
write from those sources. The result is content with specific stats, real quotes, and
current information that readers (and Google) actually value.

Inspired by the [content-pipeline](https://github.com/Affitor/content-pipeline) approach:
Topic → Search → Select sources → Synthesize → Write with context.

## Stage

This skill belongs to Stage S2: Content — but acts as the research foundation for all content skills.

## When to Use

- Before writing any article, blog post, or long-form content
- When you need current data and stats about a topic (not just AI-generated claims)
- When creating comparison content (need real feature/pricing data from sources)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add affitor/affiliate-skills/content-research-brief@sha256:c7e41b3abe6fd0f8

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7wrjkntpgtvttm6p.svg)](https://markdownregistry.com/a/art_7wrjkntpgtvttm6p)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 3, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-04-03 09396b9 16,741 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16741 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

affitor/affiliate-skills · 774 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7wrjkntpgtvttm6p
GET https://markdownregistry.com/api/v1/resolve?ref=affitor/affiliate-skills/content-research-brief
GET https://markdownregistry.com/api/v1/blob/c7e41b3abe6fd0f872765cdc06a181f8b8fdb21b79906a47cf11610a26a5d598

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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